SQLreduce: Reduce verbose SQL queries to minimal examples
SQLsmith has proven to be an effective tool for finding bugs in different areas in the PostgreSQL server and other products, including security bugs, ranging from executor bugs to segfaults in type and index method implementations.
However, the random queries generated by SQLsmith that trigger some error are most often very large and contain a lot of noise that does not contribute to the error. So far, manual inspection of the query and tedious editing was required to reduce the example to a minimal reproducer that developers can use to fix the problem.
This issue is solved by SQLreduce. SQLreduce takes as input an arbitrary SQL query which is then run against a PostgreSQL server. Various simplification steps are applied, checking after each step that the simplified query still triggers the same error from PostgreSQL. The end result is a SQL query with minimal complexity.
SQLreduce is effective at reducing the queries from original error reports from SQLsmith to queries that match manually-reduced queries.
More details on how it works in the documentation.
- PostgreSQL -- database server running the query to be reduced
- pglast -- Python interface to libpg_query
- libpg_query -- PostgreSQL parser as library (requirement of pglast)
- psycopg2 -- Python PostgreSQL driver
- yaml -- Python YAML library
Debian/Ubuntu packages for pglast are shipped on apt.postgresql.org.
apt install python3-pglast python3-psycopg python3-yaml
usage: sqlreduce [-h] [-d DATABASE] [-f FILE] [--sqlstate] [-t TIMEOUT] [--debug] [query ...] Reduce a SQL query to the minimal query throwing the same error positional arguments: query Query to reduce to minimum optional arguments: -h, --help show this help message and exit -d DATABASE, --database DATABASE Database or connection string to use -f FILE, --file FILE Read query from file [Default: stdin] --sqlstate Reduce query to same SQL state instead of error message -t TIMEOUT, --timeout TIMEOUT Statement timeout [Default: 500ms] --debug
select case when pg_catalog.lastval() < pg_catalog.pg_stat_get_bgwriter_maxwritten_clean() then case when pg_catalog.circle_sub_pt( cast(cast(null as circle) as circle), cast((select location from public.emp limit 1 offset 13) as point)) ~ cast(nullif(case when cast(null as box) &> (select boxcol from public.brintest limit 1 offset 2) then (select f1 from public.circle_tbl limit 1 offset 4) else (select f1 from public.circle_tbl limit 1 offset 4) end, case when (select pg_catalog.max(class) from public.f_star) ~~ ref_0.c then cast(null as circle) else cast(null as circle) end ) as circle) then ref_0.a else ref_0.a end else case when pg_catalog.circle_sub_pt( cast(cast(null as circle) as circle), cast((select location from public.emp limit 1 offset 13) as point)) ~ cast(nullif(case when cast(null as box) &> (select boxcol from public.brintest limit 1 offset 2) then (select f1 from public.circle_tbl limit 1 offset 4) else (select f1 from public.circle_tbl limit 1 offset 4) end, case when (select pg_catalog.max(class) from public.f_star) ~~ ref_0.c then cast(null as circle) else cast(null as circle) end ) as circle) then ref_0.a else ref_0.a end end as c0, case when (select intervalcol from public.brintest limit 1 offset 1) >= cast(null as "interval") then case when ((select pg_catalog.max(roomno) from public.room) !~~ ref_0.c) and (cast(null as xid) <> 100) then ref_0.b else ref_0.b end else case when ((select pg_catalog.max(roomno) from public.room) !~~ ref_0.c) and (cast(null as xid) <> 100) then ref_0.b else ref_0.b end end as c1, ref_0.a as c2, (select a from public.idxpart1 limit 1 offset 5) as c3, ref_0.b as c4, pg_catalog.stddev( cast((select pg_catalog.sum(float4col) from public.brintest) as float4)) over (partition by ref_0.a,ref_0.b,ref_0.c order by ref_0.b) as c5, cast(nullif(ref_0.b, ref_0.a) as int4) as c6, ref_0.b as c7, ref_0.c as c8 from public.mlparted3 as ref_0 where true;
SQLreduce can effectively reduce that monster to just this:
SELECT pg_catalog.stddev(NULL) OVER () AS c5 FROM public.mlparted3 AS ref_0
At the end of the video we can see some of the extra steps where SQLreduce has tried to remove more parts of the query, but removing these also removes the error.
sqlreduce -d 'dbname=regression' media/sqlreduce-screencast.sql
The run time of this example is entirely limited by the time PostgreSQL needs to restart after crashing. SQLreduce itself is much faster.
- Christoph Berg
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